What is it about?

Models are an important tool for combating pandemics because they help where data are not available. We show how to build such a model and how it can be used to quantify the effect of specific interventions on infection dynamics. As one key result, the model explains why contact reductions have decreasing marginal returns, i.e. the first 50% of contact reductions have considerably more effect than the second 50%.

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Why is it important?

The special feature of the model is that it is actually based on a model used for transport planning, which, however, can be adapted to the modeling of infectious diseases with relatively little effort.

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This page is a summary of: Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data, PLOS One, October 2021, PLOS,
DOI: 10.1371/journal.pone.0259037.
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